LessWrong (Curated & Popular)
LessWrong (Curated & Popular)

"OpenAI’s surveillance language has many potential loopholes and they can do better" by Tom Smith

05 March 2026 14:27 LessWrong

Listen to episode

About this episode

(The author is not affiliated with the Department of War or any major AI company.)

There's a lot of disagreement about the new surveillance language in the OpenAI–Department of War agreement. Some people think it's a significant improvement over the previous language.[1] Others think it patches some issues but still leaves enough loopholes to not make a material difference. Reasonable people disagree about how a court will interpret the language, if push comes to shove.

But here's something that should be much easier to agree on: the language as written is ambiguous, and OpenAI can do better.

I don’t think even OpenAI's leadership can be confident about how this language would be interpreted in court, given the wording used and the short amount of time they’ve had to draft it. People with less context and resources will find it even harder to know how all the ambiguities would be resolved.

Some of the ambiguities seem like they could have been easily clarified despite the small amount of time available, which makes it concerning that they weren't. But more importantly, it should certainly be possible and worthwhile to spend more time on clarifying the language now. Employees are well within [...]

---

Outline:

(01:27) What the new language says

(02:46) Ambiguities

(07:45) Why this isnt unreasonable nit-picking

(11:04) Some of this would be easy to clarify

(13:09) OpenAI can do much better

The original text contained 8 footnotes which were omitted from this narration.

---

First published:
March 4th, 2026

Source:
https://www.lesswrong.com/posts/FSGfzDLFdFtRDADF4/openai-s-surveillance-language-has-many-potential-loopholes

---



Narrated by TYPE III AUDIO.

Want to find AI jobs?

Join thousands of AI professionals finding their next opportunity

We respect your inbox. Unsubscribe at any time.

© 2026 LessWrong (Curated & Popular). All rights reserved.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.